Strong data testing experience with ability to understand requirements, data mapping validation, data transformation rules, and downstream validation.
Technical understanding of data platforms and files including Azure Data Lake, MuleSoft, and Databus; experience with JSON and XML formats.
Experience building custom queries for data validation across different source and target systems.
Knowledge of historical, full, and incremental data validation approaches and best practices.
Requirements:
Lead data testing activities by validating requirements, data mappings, transformation rules, and downstream validation.
Work with platforms and files such as Azure Data Lake, MuleSoft, and Databus; handle various file formats (JSON, XML) during validation.
Design and execute performance testing for batch jobs, including workload modeling, metrics collection, and baseline vs actual reporting.
Develop and execute validations for historical, full, and incremental data scenarios to ensure data quality across systems.
Job description
Job Tittle: Data Testing Lead (Remote) Location: Chicago, IL Duration: 6-12 Months
• Strong data testing experience – Understanding of requirements, data mapping validation, data transformation rules, and downstream validation • Technical understanding of the platforms and files – Azure Data Lake, MuleSoft, Databus, handling of different file formats, JSON, XML etc • Building custom queries for data validation between different types of sources and target systems • Understanding of historical data validation, full data, and incremental data validations • Performance testing for batch jobs – Understanding of current state requirements, development of workload models, associated metrics, baseline vs actual comparison reports etc
